1149 search results - page 57 / 230 » Learning to Align: A Statistical Approach |
SAC
2009
ACM
14 years 6 months ago
2009
ACM
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
ISMIR
2005
Springer
14 years 4 months ago
2005
Springer
Supervised learning can be used to create good systems for note segmentation in audio data. However, this requires a large set of labeled training examples, and handlabeling is qu...
ICML
2008
IEEE
14 years 12 months ago
2008
IEEE
Discovering additive structure is an important step towards understanding a complex multi-dimensional function because it allows the function to be expressed as the sum of lower-d...
ALT
2008
Springer
14 years 8 months ago
2008
Springer
Abstract. Three simple and explicit procedures for testing the independence of two multi-dimensional random variables are described. Two of the associated test statistics (L1, log-...
AAAI
1996
14 years 14 days ago
1996
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...